Budi Prasetyo

Papers

Total Citations

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About

Budi Prasetyo is a robotics researcher whose work bridges computer vision and autonomous navigation, with a particular focus on developing intelligent systems for target acquisition and indoor exploration. His most-cited paper, "Room Searching Robot Based on Door Detection and Room Number Recognition for Automatic Target Shooter Robot Application" (2021), has garnered 5 citations and demonstrates his core contribution: integrating real-time door detection and optical character recognition to enable robots to autonomously locate and identify specific rooms. This work addresses a critical challenge in mobile robotics—combining environmental perception with semantic understanding—and has practical implications for security, surveillance, and automated response systems. Prasetyo’s research is notable for its applied approach, where algorithms for object detection and text recognition are optimized for resource-constrained platforms, making his solutions deployable in real-world scenarios. While his citation count reflects an emerging career, his focus on low-cost, vision-based navigation systems positions him as a contributor to the growing field of autonomous indoor robotics. His work offers a foundation for students and researchers interested in the intersection of computer vision, embedded systems, and robotic autonomy.